“Traditional classifiers can have high performance, with low latency and operating cost," OpenAI said. "But gathering a ...

Abstract: In cognitive radio networks, spectrum sensing is pivotal for efficient utilization of the radio frequency spectrum. This paper presents a comparative analysis of static and dynamic ...

Abstract: Vision Transformers (ViTs) have outperformed traditional Convolutional Neural Network architectures and achieved state-of-the-art results in various computer vision tasks. Since ViTs are ...